Data Processing Systems and Methods for Automatic Discovery and Assessment of Mobile Software Development Kits

1. A method comprising: scanning, by computing hardware, a plurality of files stored on a mobile device; determining, by the computing hardware, a name for each file of the plurality of files; searching, by the computer hardware, a listing of software development kit files using the name of each file of the plurality of files; identifying, by the computing hardware and based on searching the listing of software development kit files, a software development kit associated with a file of the plurality of files; generating, by the computing hardware and based on the file, a tokenized name for the software development kit comprising: a vendor token indicating a vendor of the software development kit, and a plurality of functionality tokens representing functions of the software development kit; determining, by the computing hardware and using a mapping of tokens to respective functionality categories, a functionality category for each functionality token of the plurality of functionality tokens; determining, by the computing hardware, a plurality of category scores for the respective functionality categories, wherein a highest category score of the plurality of category scores is determined by applying a weighting factor to a score for a first functionality category in response to determining that the first functionality category is a key category; determining, by the computing hardware, the first functionality category associated with the highest category score from among the plurality of category scores; determining a vendor score for the vendor token; and determining, by the computing hardware, a software development kit category for the software development kit based on the first functionality category associated with the highest category score and the vendor score.

2. The method of claim 1 , further comprising storing the software development kit category in computer memory.

3. The method of claim 1 , wherein searching the listing of the software development kit files comprises using regular expression searching to search the listing of the software development kit files using the name of each file of the plurality of files.

4. The method of claim 1 , further comprising linking the software development kit category with the plurality of files.

5. A system comprising: a processing hardware; a computer memory communicatively coupled to the processing hardware; and a non-transitory computer-readable medium communicatively coupled to the processing hardware, and storing computer-executable instructions, wherein the processing hardware is configured for executing the computer-executable instructions and thereby performing operations comprising: analyzing a plurality of files stored on a mobile device to identify a name for each file of the plurality of files; comparing the name for each file to a listing of software development kit files to identify a software development kit associated with a file of the plurality of files; generating a tokenized name for the software development kit based on the file, the tokenized name comprising a vendor token representing a vendor and a functionality token representing a function of the software development kit; determining a category for the functionality token using a mapping of functionality tokens to respective categories; determining a category score for the category using a mapping of categories to respective category scores, wherein determining the category score comprises applying a weighting factor to the category score for the category in response to determining that the category is a key category; determining a vendor score for the vendor token; and determining a privacy assessment score based on the category score and the vendor score.

6. The system of claim 5 , wherein determining the privacy assessment score comprises: determining that the category score is a null value; and in response to determining that the category score is the null value: determining the privacy assessment score based on the vendor score.

7. The system of claim 5 , wherein analyzing the plurality of files stored on the mobile device comprises accessing the mobile device using an application programming interface.

8. The system of claim 5 , wherein the tokenized name further comprises a second functionality token representing a second function.

9. The system of claim 8 , further comprising: determining a second category for the second functionality token using the mapping of functionality tokens to categories; and determining a second category score for the second category using the mapping of categories to category scores.

10. The system of claim 9 , wherein determining the privacy assessment score based on the category score comprises: determining that the category score is greater than the second category score; and setting the privacy assessment score to a value of the category score.

11. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by computing hardware, configure the computing hardware to perform operations comprising: determining a name of a file among a plurality of files stored on a mobile device; analyzing the name of the file using a database of software development kit information to determine a software development kit associated with the file; generating a vendor token for a vendor associated with the software development kit; generating a first functionality token for a first function associated with the software development kit; generating a second functionality token for a second function associated with the software development kit; determining a first category for the first functionality token using a mapping of functionality tokens to categories; determining a second category for the second functionality token using the mapping of functionality tokens to categories; determining a first category score for the first category using a mapping of categories to category scores, wherein determining the first category score comprises applying a first weighting factor to the first score for the first category based on determining that the first category is not a key category; determining a second category score for the second category using the mapping of categories to category scores, wherein determining the second category score comprises applying a second weighting factor to the second score for the second category based on determining that the second category is the key category; determining a vendor score for the vendor token; and determining a privacy category for the software development kit using the second category based on determining that the second category score is greater than the first category score and the vendor score.

12. The non-transitory computer-readable medium of claim 11 , wherein analyzing the name of the file comprises accessing the database of software development kit information to determine that the name of the file corresponds to a valid software development kit.

13. The non-transitory computer-readable medium of claim 11 , wherein at least one of the first category and the second category is a targeting category.

14. The non-transitory computer-readable medium of claim 11 , wherein at least one of the first category and the second category is a functional category.